Updated on 2025-08-25 GMT+08:00

Analyzing Cost Anomalies

Checking Email for Cost Anomaly Notifications

Prerequisites: You will receive email notifications only if you have configured email alerts for cost anomalies.

  1. Check your email for cost anomaly notifications.
  2. In the email, click View Details in the Operation column. You will be redirected to the Cost Anomaly Details page in Cost Center.

    Table 1 Fields in an email notification of cost anomalies

    Field

    Description

    Detection Date

    Date when a cost anomaly is detected.

    NOTE:

    Cost anomalies are not recorded in real time. Cost Center supports user-created cost monitors . For details about the delay, see Delay in Generating Cost Anomalies.

    First Occurred

    Date when a cost anomaly actually occurred.

    This date precedes the detection date by two days for system-created cost monitors and by one day for user-created ones. For details, see Delay in Generating Cost Anomalies.

    Duration

    The length of time a cost anomaly persists for. The anomaly might not be only temporary.

    Severity

    Severity of an anomaly. Low severity means the actual expenditure is only slightly higher than the maximum expected expenditure when the anomaly is detected, whereas high severity indicates a significant difference between the expected and actual expenditure. For details, see Severity of Cost Anomalies.

    Cost Anomalies

    Pay-per-use or yearly/monthly costs.

    For details, see Monitoring Scope of Cost Monitors.

    Monitor

    Name of the monitor that detects a cost anomaly.

    Service Type

    Name of the service where a cost anomaly is detected.

    Account Name

    Account that generates abnormal costs.

    This field only displays the enterprise master account and its member accounts associated for unified accounting management.

    Cost Impact

    • Total cost impact

      The sum of the daily cost impact over the anomaly monitoring period.

    • Cost impact
      Subject to the latest data of the day when you view the cost anomaly over the anomaly monitoring period.
      • Cost impact on pay-per-use resources = Actual cost on the current day – Maximum forecasted cost
      • Cost impact on yearly/monthly resources = Cost for the current month – Cost for the same period in the previous month

    For details, see Rules for Calculating Cost Impact.

    Example: Suppose you have a cost anomaly record from April 10 to April 12, the anomaly lasts for three days, the impact cost on April 10 is $100 USD, on April 11 is $200 USD, and on April 12 is $300 USD. In this case, the total cost impacted is $600 USD.

    Next Step

    Click View Details to go to the anomaly details page.

Viewing Anomaly History

  1. Log in to Cost Center.
  2. Choose Cost Insights > Cost Anomaly Detection.
  3. View the cost anomalies of the last 30 days in the Cost Anomaly Detection Summary area.

    • Cost Impact (Last 30 Days): the cost of anomalies reported in the last 30 days
    • Anomalies Pending Feedback (Last 30 Days): the number of cost anomalies waiting for you to give feedback on in the last 30 days
    • Cost Anomalies (Last 30 Days): the number of cost anomalies reported in the last 30 days

  4. Click the Cost Monitors tab.

  5. Click View Anomaly History in the Operation column of the monitor.

    All cost anomalies reported in the last 90 days are displayed.

    Table 2 Fields for anomaly history

    Field

    Description

    Detection Date

    Date when a cost anomaly is detected.

    NOTE:

    Cost anomalies are not recorded in real time. Cost Center supports user-created cost monitors . For details about the delay, see Delay in Generating Cost Anomalies.

    Billing Mode

    How the resources with a cost anomaly are billed.

    Severity

    Severity of an anomaly. Low severity means the actual expenditure is only slightly higher than the maximum expected expenditure when the anomaly is detected, whereas high severity indicates a significant difference between the expected and actual expenditure. For details, see Severity of Cost Anomalies.

    Cost Impact

    • Pay-per-use expenditures

      The amount that a maximum forecasted cost in a given statistical period was exceeded by. Cost impact = Actual cost – Maximum forecasted cost

      For example, a cost impact of $20 USD means that the actual cost is $20 USD higher than the maximum forecasted cost in the statistical period.

    • Yearly/Monthly expenditures

      The amount that the cost for the same period in the previous billing cycle was exceeded by. Cost impact = Actual cost for the current month – Cost for the same period in the previous month

      For example, a cost impact of $20 USD means that the MTD cost (excluding the cost of the current day) is $20 USD higher than that for the previous month.

    For details, see Rules for Calculating Cost Impact.

    First Occurred

    Date when a cost anomaly actually occurred.

    This date precedes the detection date by two days for system-created cost monitors and by one day for user-created ones. For details, see Delay in Generating Cost Anomalies.

    Duration

    The length of time a cost anomaly persists for. The anomaly might not be only temporary.

    Anomaly Window

    The window of time during which a cost anomaly persists.

    This date precedes the detection date by two days for system-created cost monitors and by one day for user-created ones. For details, see Delay in Generating Cost Anomalies.

    Monitor

    Name of the monitor that detects a cost anomaly.

    Service Type

    Name of the service where a cost anomaly is detected.

    Account Name

    Account that generates abnormal costs.

    Feedback

    Feedback provided in Providing Feedback.

    • Not provided: No feedback is provided.
    • Unforeseen anomaly: The detection result is accurate, and the anomaly is unforeseen.
    • False positive: It is not an anomaly.
    • Foreseen anomaly: The detection result is accurate, and the anomaly is foreseen.

  6. Click the value of Detection Date. You can view the details about that anomaly.

Analyzing Root Causes

  1. Log in to Cost Center.
  2. Choose Cost Insights > Cost Anomaly Detection.
  3. Click the Anomaly History tab.
  4. View all anomalies detected by a specified monitor.
  5. Click a particular detection date to view the possible causes of the anomaly.

  6. Click View Cost Analysis to view the analyses so as to identify the root causes more accurately.

Providing Feedback

You can provide feedback on the accuracy of detected cost anomalies.

  1. Log in to Cost Center.
  2. Choose Cost Insights > Cost Anomaly Detection.
  3. Click the Anomaly History tab.
  4. Click Give Feedback in the Operation column.
  5. Provide your feedback on the anomaly detection result.